Instructions to use tevino/gemma-4-E4B-it-oQ6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tevino/gemma-4-E4B-it-oQ6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gemma-4-E4B-it-oQ6 tevino/gemma-4-E4B-it-oQ6
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
gemma-4-E4B-it-oQ6
This model was quantized using oQ (oMLX v0.3.9.dev2) mixed-precision quantization.
Quantization details
- Model type: gemma4
- Bits: 6
- Group size: 64
- Format: MLX safetensors
- Downloads last month
- 169
Model size
2B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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6-bit
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